University of Technology Sydney

94692 Data Science Practice



The subject covers the following topics in detail:

  • practical introduction to R and Python for data science
  • working with UNIX systems (with a focus on cloud-based analytics systems)
  • introduction to assorted data stores/access techniques (SQL, Hadoop, Hive, Spark)
  • version control with Github and data science hygiene (writing maintainable, robust code, unit testing, etc.)
  • building complete machine learning systems (training a model, then deploying it as an API or in batch mode).

Detailed subject description.

Access conditions

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